E2E Playwright
Skill Profile
(Select at least one profile to enable specific modules)
- [ ] DevOps
- [x] Backend
- [ ] Frontend
- [ ] AI-RAG
- [ ] Security Critical
Overview
Playwright is a Node.js library to automate Chromium, Firefox, and WebKit with a single API. This skill covers Playwright setup, locators, actions, assertions, page object model, fixtures, parallel execution, visual regression, and CI/CD integration for building robust end-to-end tests.
Why This Matters
E2E testing with Playwright is critical because it:
- Validates complete user journeys from start to finish
- Catches integration issues that unit tests miss
- Supports multiple browsers for cross-browser testing
- Provides fast, reliable test execution
- Enables parallel execution for faster test runs
- Supports visual regression testing for UI consistency
- Integrates with CI/CD for automated testing
Core Concepts
| Concept | Description | |---------|-------------| | Page Object Model | Reusable page classes for UI elements | | Locators | Strategies for finding elements on page | | Actions | User interactions (click, type, etc.) | | Assertions | Verifying expected outcomes | | Fixtures | Reusable test setup and teardown | | Parallel Execution | Running tests concurrently | | Visual Regression | Comparing screenshots for UI changes |
Inputs / Outputs / Contracts
Skill Composition
- Depends on: None
- Compatible with: None
- Conflicts with: None
- Related Skills: None
Quick Start / Implementation Example
- Review requirements and constraints
- Set up development environment
- Implement core functionality following patterns
- Write tests for critical paths
- Run tests and fix issues
- Document any deviations or decisions
# Example implementation following best practices
def example_function():
# Your implementation here
pass
Assumptions
- Application is web-based and accessible via browser
- Application has stable, predictable UI elements
- Test environment is accessible and configured
- Team has basic JavaScript/TypeScript knowledge
- CI/CD pipeline is available for automated testing
Compatibility & Prerequisites
- Supported Versions:
- Python 3.8+
- Node.js 16+
- Modern browsers (Chrome, Firefox, Safari, Edge)
- Required AI Tools:
- Code editor (VS Code recommended)
- Testing framework appropriate for language
- Version control (Git)
- Dependencies:
- Language-specific package manager
- Build tools
- Testing libraries
- Environment Setup:
.env.examplekeys:API_KEY,DATABASE_URL(no values)
Test Scenario Matrix (QA Strategy)
| Type | Focus Area | Required Scenarios / Mocks | | :--- | :--- | :--- | | Unit | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage | | Integration | DB / API | All external API calls or database connections must be mocked during unit tests | | E2E | User Journey | Critical user flows to test | | Performance | Latency / Load | Benchmark requirements | | Security | Vuln / Auth | SAST/DAST or dependency audit | | Frontend | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |
Technical Guardrails & Security Threat Model
1. Security & Privacy (Threat Model)
- Top Threats: Injection attacks, authentication bypass, data exposure
- [ ] Data Handling: Sanitize all user inputs to prevent Injection attacks. Never log raw PII
- [ ] Secrets Management: No hardcoded API keys. Use Env Vars/Secrets Manager
- [ ] Authorization: Validate user permissions before state changes
2. Performance & Resources
- [ ] Execution Efficiency: Consider time complexity for algorithms
- [ ] Memory Management: Use streams/pagination for large data
- [ ] Resource Cleanup: Close DB connections/file handlers in finally blocks
3. Architecture & Scalability
- [ ] Design Pattern: Follow SOLID principles, use Dependency Injection
- [ ] Modularity: Decouple logic from UI/Frameworks
4. Observability & Reliability
- [ ] Logging Standards: Structured JSON, include trace IDs
request_id - [ ] Metrics: Track
error_rate,latency,queue_depth - [ ] Error Handling: Standardized error codes, no bare except
- [ ] Observability Artifacts:
- Log Fields: timestamp, level, message, request_id
- Metrics: request_count, error_count, response_time
- Dashboards/Alerts: High Error Rate > 5%
Agent Directives
When writing E2E tests:
- Use Page Object Model for maintainable tests
- Use descriptive test names that explain what's being tested
- Use explicit waits to avoid flaky tests
- Use fixtures for reusable test setup
- Test across browsers for cross-browser compatibility
- Use parallel execution for faster test runs
- Add assertions to verify expected outcomes
Definition of Done (DoD) Checklist
- [ ] Tests passed + coverage met
- [ ] Lint/Typecheck passed
- [ ] Logging/Metrics/Trace implemented
- [ ] Security checks passed
- [ ] Documentation/Changelog updated
- [ ] Accessibility/Performance requirements met (if frontend)
Anti-patterns
- Inline Locators: Not using page object model
- Hardcoded Waits: Using fixed timeouts instead of explicit waits
- Brittle Locators: Using CSS selectors that break easily
- No Test Isolation: Tests depending on each other
- Ignoring Flaky Tests: Not investigating and fixing flaky tests
- Testing Production: Running tests against production environment
Reference Links & Examples
- Internal documentation and examples
- Official documentation and best practices
- Community resources and discussions
Versioning & Changelog
- Version: 1.0.0
- Changelog:
- 2026-02-22: Initial version with complete template structure
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